33%
21.01.2020
7 1 56008 loop1
06 7 2 56184 loop2
07 7 3 91264 loop3
08 259 0 244198584 nvme0n1
09 8 0 488386584 sda
10 8 1 1024 sda1
11
33%
02.08.2021
SGEMM
for N = [2, 4, 8, 16, 32, 64, 128, 256, 512, 1024, 2048, 4096, 8192]
A = single( rand(N,N) );
B = single( rand(N,N) );
start = clock();
C = A*B;
elapsedTime = etime(clock(), start
33%
07.11.2011
for [clauses ...]
for (i=0;i<N;i++) {
a[i]= i*i; /* parallelized */
}
... /* one thread */
Also, you can combine the two compiler directives, parallel
and sections
, to form a single directive
33%
07.01.2014
a great deal of power in a few lines:
rm -rf backup.3
mv backup.2 backup.3
mv backup.1 backup.2
cp -al backup.0 backup.1
rsync -a --delete source_directory/ backup.0/
To better understand the script, I
33%
07.02.2019
exiting the data region, the data from the accelerator is copied back to the host. Table 3 shows a simple example of using the copy
clause.
Table 3: The copy
Clause
Fortran
C
!$acc data copy(a
33%
12.02.2014
.py
CPU ALL: 1.0 %
CPU0 4.1%
CPU1 2.0%
CPU2 0.0%
CPU3 0.0%
CPU4 0.0%
CPU5 0.0%
CPU6 0.0%
CPU7 2.0%
CPU ALL:
user: 0.7% nice: 0.0%
system: 0.2% idle
33%
25.09.2023
hosts [9]. A more apt comparison is found in Listing 2, with the results posted by a Raspberry Pi 400 [10], which is essentially a Raspberry Pi 4 (Broadcom BCM2711 Cortex-A72, ARM v8 quad-core running
33%
07.11.2023
-WLyW-XDPI-7w3E-SK9BYf
LV Write Access read/write
LV Creation host, time laytonjb-APEXX-T3-04, 2023-10-14 08:38:33 -0400
LV Status available
# open 0
LV
33%
30.01.2024
Dell Precision Workstation T7910
Power
1,300W
CPU
2x Intel Xeon Gold E5-2699 V4, 22 cores, 2.4GHz, 55MB of cache, LGA 2011-3
GPU, NPU
n/a*
Memory
33%
04.11.2011
the latest updates from a local rsync file mirror (Listing 3). I strongly urge you to find your own local mirror [8] that provides rsync. The commands in Listing 3 also pull the EPEL repository [9] for some
